Intelligent trunk infusion device and infusion dynamic balance system

Abstract

This invention discloses an intelligent trunk infusion device and an infusion dynamic balancing system, belonging to the field of seedling maintenance technology. The invention includes an infusion tank, an adjustment box, and a control module. It replenishes the nutrient solution in the infusion tank without removing it, and simultaneously adds nano-selenium particles through the inlet, enhancing the seedlings' cold and drought resistance. A PID processing unit combines target parameters and real-time data to perform multi-dimensional analysis and response to infusion errors, enabling rapid and accurate adjustment of the infusion pump's operating status, maintaining stable infusion processes, and effectively reducing catheter embolism caused by fluctuations in infusion parameters. The infusion dynamic adjustment unit adjusts the infusion pump power in real-time according to adjustment commands and promptly switches the diversion valve state according to return commands, handling nutrient solutions with abnormal temperatures. This effectively avoids infusion failures caused by unstable infusion flow rates and abnormal nutrient solution temperatures, improving the infusion system's self-adaptability.

Description

Technical Field

[0001] This invention relates to the field of seedling maintenance technology, and in particular to an intelligent trunk infusion device and an infusion dynamic balance system. Background Technology

[0002] Traditional tree trunk infusion devices typically consist of a simple infusion bag, tubing, and needle, relying on manual suspension and flow rate adjustment. This makes them unsuitable for the demands of refined tree maintenance and presents several limitations.

[0003] The lack of a precise control mechanism during infusion makes it impossible to detect changes in pressure and flow rate within the tree trunk's vascular bundles in real time. This can easily lead to excessively fast infusion rates that could damage the tree's root system, or excessively slow infusion rates that could affect the nutritional supplementation. In addition, improper pressure control can easily cause vascular embolism.

[0004] The lack of effective control over the temperature of the nutrient solution means that changes in ambient temperature can cause the temperature of the nutrient solution to deviate from the range suitable for tree absorption. At low temperatures, the nutrient solution will solidify and block the ducts, while at high temperatures it will destroy the activity of the nutrients and reduce the tree's absorption efficiency of the nutrient solution.

[0005] Traditional infusion devices cannot achieve remote monitoring and data management, making it difficult to meet the intelligent needs of large-scale tree maintenance. Summary of the Invention

[0006] The purpose of this invention is to provide an intelligent trunk infusion device and an infusion dynamic balancing system to solve the problems mentioned in the background art.

[0007] To achieve the above objectives, the present invention provides the following technical solution: an intelligent tree trunk infusion device, comprising an infusion tank and an adjustment box. The top of the adjustment box is provided with a mounting frame, the infusion tank is snapped into the inside of the mounting frame, the infusion tank is connected to the adjustment box, a tree trunk conduit is provided on one side of the adjustment box, the tree trunk conduit is connected to the infusion tank through the adjustment box, an infusion needle is provided at one end of the tree trunk conduit, a pressure sensor is connected to the middle of the tree trunk conduit, elastic bands are provided on both sides of the pressure sensor, a telescopic support leg is provided at the bottom of the adjustment box, and auxiliary support legs are distributed around the telescopic support leg.

[0008] The regulating tank is equipped with a control module, which is used to carry the infusion dynamic balance system and control the regulating tank as a whole.

[0009] Furthermore, the infusion tank includes a tank body and a tank cover connected by threads. A motor is installed on the top of the tank cover, and a control button is installed on one side of the motor. A bucket-shaped inlet is installed on one side of the top of the tank cover. Snap-fit ​​protrusions are installed on both sides of the top of the tank body. A stirring rod and stirring blade are installed inside the tank body. The top of the stirring rod is connected to the output shaft of the motor. A bottom opening is opened in the middle of the bottom surface of the tank body, and a rubber sealing membrane is installed inside the bottom opening.

[0010] Furthermore, a valve is provided on the top of the regulating box. A connecting needle is provided at the input end of the valve, and an inlet pipe is provided at the output end of the valve. A first temperature sensor is provided on the inlet pipe. A three-way connector is connected to the end of the inlet pipe away from the valve. A return pipe and an S-shaped bend are respectively connected to the other two ends of the three-way connector. The connection port of the three-way connector to the inlet pipe is set as a one-way valve port from the inlet pipe to the three-way connector. The connection port of the three-way connector to the return pipe is set as a one-way valve port from the return pipe to the three-way connector. The connection port of the three-way connector to the S-shaped bend is set as a one-way valve port from the three-way connector to the S-shaped bend. A second temperature sensor and a diversion valve are provided at the end of the S-shaped bend away from the three-way connector. The two diversion ports of the diversion valve are respectively connected to the trunk guide tube and the return pipe. An infusion pump and a flow rate sensor are provided at the connection between the trunk guide tube and the diversion valve. A return pump is provided at the connection between the return pipe and the diversion valve.

[0011] The regulating box is equipped with a dual-purpose (cold and hot) temperature controller, which is connected to a temperature control tube that is arranged around an S-shaped bend.

[0012] Furthermore, the mounting frame includes a stand, a mounting plate is provided on the inner top of the stand, a stabilizing plate is provided below the mounting plate, the top of the stabilizing plate is sloped, and a spring connects the stabilizing plate and the stand.

[0013] Furthermore, a dynamic infusion balancing system, applied in the aforementioned intelligent trunk infusion device, includes:

[0014] The parameter monitoring unit is configured to collect pressure data in the trunk duct in real time through a pressure sensor, collect flow velocity data in the trunk duct through a flow velocity sensor, and detect temperature data at the end of the liquid inlet pipe and the S-shaped bend pipe through a first temperature sensor and a second temperature sensor, respectively.

[0015] The data transmission unit is configured to receive sensor data output by the parameter monitoring unit via wireless communication and send the sensor data to the remote monitoring terminal.

[0016] The PID processing unit is configured to receive real-time pressure and flow rate data sent by the data transmission unit, calculate and output adjustment signals to adjust the infusion state using preset standard pressure and flow rate values ​​as target parameters;

[0017] The intelligent temperature control unit is configured to receive the first temperature data collected by the first temperature sensor, and when the first temperature data deviates from the preset suitable temperature range, send a temperature control signal to the dual-purpose temperature controller for both cooling and heating, and receive the second temperature data collected by the second temperature sensor, and when the second temperature data deviates from the preset suitable temperature range, output a liquid return signal.

[0018] The infusion dynamic adjustment unit is configured to receive adjustment signals and change the operating power of the infusion pump according to the adjustment signals, thereby adjusting the flow rate of the nutrient solution in the trunk duct; and to receive return signals and change the pipeline on / off state of the diversion valve according to the return signals.

[0019] The abnormality warning unit is configured to set an abnormality judgment threshold. It compares the data collected by the pressure sensor, flow rate sensor and temperature sensor with the preset abnormality judgment threshold. When the data exceeds the threshold range, it sends abnormal information to the remote monitoring terminal through the data transmission unit.

[0020] Furthermore, the PID processing unit includes:

[0021] The preprocessing subunit is configured to receive real-time pressure data and flow rate data sent by the data transmission unit, remove abnormal data, and convert it into a standard format that meets the requirements of PID algorithm operation.

[0022] The PID calculation subunit is configured to use preset standard pressure and flow rate values ​​as target parameters, and calculate the difference between the real-time pressure data and flow rate data and the corresponding target parameters respectively.

[0023] The current error is responded to by proportional calculation, the cumulative error is eliminated by integral calculation, the error change trend is predicted by differential calculation, and the preliminary adjustment signal is generated by combining the results of proportional calculation, integral calculation and differential calculation.

[0024] The signal calibration subunit is configured to receive the preliminary adjustment signal generated by the PID calculation subunit, perform amplitude limiting processing on the preliminary adjustment signal, and dynamically correct the preliminary adjustment signal through adaptive calibration by combining historical adjustment data, and output the final adjustment signal to the infusion dynamic adjustment unit.

[0025] Furthermore, the intelligent temperature control unit includes:

[0026] The temperature acquisition subunit is configured to receive the first temperature data at the liquid inlet pipe acquired by the first temperature sensor, and the second temperature data at the end of the S-shaped bend acquired by the second temperature sensor.

[0027] The anomaly detection subunit is configured to store preset suitable temperature range parameters;

[0028] Receive the first temperature data and the second temperature data, and compare them with the preset suitable temperature range to make a judgment;

[0029] When the first temperature data is higher or lower than the upper or lower limit of the suitable temperature range, a temperature control signal is generated;

[0030] When the second temperature data is higher or lower than the upper or lower limit of the suitable temperature range, a liquid return signal is generated;

[0031] The temperature control subunit is configured to receive temperature control signals and liquid return signals;

[0032] When a temperature control trigger signal is received, a temperature control command is sent to the dual-purpose hot and cold temperature controller to control the dual-purpose hot and cold temperature controller to heat or cool the nutrient solution in the S-shaped bend through the temperature control tube.

[0033] When a return liquid trigger signal is received, a return liquid command is sent to the infusion dynamic adjustment unit to control the diversion valve to switch the pipeline on / off state, and the nutrient solution is returned through the return liquid pipe for secondary temperature adjustment.

[0034] Furthermore, the infusion dynamic adjustment unit includes:

[0035] The signal processing subunit is configured to receive the adjustment signal output by the PID processing unit and the temperature control command and liquid return command generated by the intelligent temperature control unit, and convert the adjustment signal, temperature control command and liquid return command into control command form that can be recognized by the corresponding actuator.

[0036] The flow rate regulation subunit is configured to receive regulation control commands based on the output of the regulation signal;

[0037] The control commands are converted into operating parameter adjustment signals for the infusion pump, and the flow rate of nutrient solution in the tree trunk vascular bundles is adjusted by changing the operating power of the infusion pump.

[0038] The operating status of the infusion pump is monitored in real time, and the adjustment effect is fed back to the PID processing unit.

[0039] The liquid return control subunit is configured to receive a liquid return command based on the liquid return signal output;

[0040] According to the return liquid command, a pipeline switching signal is sent to the diversion valve to control the diversion valve to change the pipeline on / off state, so that the nutrient solution returns through the return liquid pipe for secondary temperature adjustment.

[0041] Furthermore, the PID calculation subunit uses preset standard pressure and standard flow rate values ​​as target parameters. It calculates the difference between the real-time pressure data and real-time flow rate data and the corresponding target parameters, responds to the current error through proportional calculation, eliminates the accumulated error through integral calculation, and predicts the error change trend through differential calculation. The preliminary adjustment signal is generated by combining the calculation results of proportional, integral, and differential calculations, and the following operations are specifically performed:

[0042] The pressure error value is calculated based on the preset standard pressure value and real-time pressure data: e p (t)=P set -P(t); where e p (t) represents the pressure error value, P setP(t) represents the preset standard pressure value, and P(t) represents the real-time pressure data.

[0043] The flow rate error value is calculated based on the preset standard flow rate value and real-time flow rate data: e Q (t)=Q set -Q(t); where e Q (t) represents the flow velocity error value, Q set Q(t) represents the preset standard flow rate value, and Q(t) represents the real-time flow rate data.

[0044] The pressure regulation signal, P, is calculated by responding to the pressure error value using the pressure proportional gain. term =K p ·e p (t); where P term K is the pressure regulation signal. p For pressure proportional gain;

[0045] The flow rate regulation signal Q is calculated by using the flow rate proportional gain to respond to the flow rate error value. term =K Q ·e Q (t); where Q is... term For flow rate regulation signal, K Q For flow rate proportional gain;

[0046] The pressure integral signal is calculated by eliminating the accumulated error of the pressure error value using the pressure integral gain: Among them, I term For the pressure integral signal, L p For pressure integral gain;

[0047] The cumulative error of the flow velocity error value is eliminated by using the flow velocity integral gain, and the flow velocity integral signal is calculated: in, For the velocity integral signal, L Q The integral gain is the velocity gain.

[0048] By utilizing the differential gain of pressure, the error variation trend of the pressure error value is predicted, and the differential signal of pressure is calculated: Among them, D term X is the differential signal of pressure. p For pressure differential gain, The derivative of the pressure error value;

[0049] By utilizing the differential gain of flow velocity, the error variation trend of the flow velocity error value is predicted, and the differential signal of flow velocity is calculated: in, X is the differential signal of the flow velocity. Q For the differential gain of the flow velocity, The derivative of the flow velocity error value;

[0050] Calculate the initial pressure regulation signal based on the pressure regulation signal, the pressure integral signal, and the pressure derivative signal: PID output_P (t)=P term +I term +D term ;

[0051] Calculate the initial flow rate regulation signal based on the flow rate regulation signal, the flow rate integral signal, and the flow rate derivative signal:

[0052] Furthermore, the infusion dynamic balancing system also includes:

[0053] The visualization operation support module is used to generate a visualization operation support interface and transmit it to the remote monitoring terminal when it receives a visualization operation support request from the remote monitoring terminal, based on the working status information of at least the parameter monitoring unit, data transmission unit, PID processing unit, intelligent temperature control unit, infusion dynamic adjustment unit and abnormal warning unit, so that the user of the remote monitoring terminal can perform visualization operation.

[0054] The visualization operation support module is also used to include:

[0055] Receive infusion intervention commands input by users through a remote monitoring terminal;

[0056] Based on the working status information, verify whether the infusion intervention command is feasible;

[0057] Once it is verified to be feasible, plan the optimal timing for executing infusion intervention instructions;

[0058] When the optimal time for intervention is reached, execute the infusion intervention command.

[0059] Compared with the prior art, the beneficial effects of the present invention are:

[0060] 1. This invention allows for the replenishment of nutrient solution in the infusion tank without removing the tank, via the inlet. Simultaneously, nano-selenium particles can be added through the inlet to enhance the seedlings' cold and drought resistance. A motor-driven stirring rod and blades thoroughly stir the nutrient solution, ensuring uniform composition and preventing sedimentation that could affect the infusion effect. A pressure sensor combined with an elastic band accurately monitors the infusion pressure while ensuring the trunk's vascular bundles are securely fixed, providing efficient equipment support for tree maintenance. Flexible control of a dual-purpose (heating and cooling) temperature controller and diversion valve allows for secondary adjustments to the nutrient solution, such as heating, cooling, or return, effectively preventing temperature-related issues that could hinder nutrient absorption. It prevents the nutrient solution from solidifying and clogging the vascular bundles due to low temperatures or damaging nutrients due to high temperatures, ensuring the nutrient solution is delivered to the tree at the appropriate temperature. This improves the tree's utilization rate of the nutrient solution, enhances tree maintenance, and ensures the tree receives optimal growth support during the infusion process.

[0061] 2. The PID processing unit of this invention performs multi-dimensional analysis and response to infusion errors through proportional, integral, and derivative operations, combined with target parameters and real-time data. It further optimizes the initial adjustment signal, avoids over-adjustment or under-adjustment, and forms a closed-loop processing mechanism. This makes the adjustment signal more in line with actual needs, enabling rapid and accurate adjustment of the infusion pump's operating status, maintaining stability in the infusion process, effectively reducing catheter embolism caused by fluctuations in infusion parameters, improving the safety and effectiveness of trunk infusion, and providing strong protection for the healthy growth of trees.

[0062] 3. The infusion dynamic adjustment unit of this invention integrates multiple signals and converts them into execution commands, ensuring that each component receives accurate control information. Based on the adjustment commands, it adjusts the infusion pump power in real time, precisely controls the nutrient solution flow rate, maintains stability during the infusion process, and promptly switches the diversion valve state according to the return command to handle nutrient solutions with abnormal temperatures. This effectively avoids infusion failures caused by unstable infusion flow rates or abnormal nutrient solution temperatures, improves the adaptive capability of the infusion system, ensures precise delivery of nutrient solutions according to tree needs, enhances tree maintenance efficiency, reduces the frequency of manual intervention, and creates a favorable infusion environment for healthy tree growth.

[0063] 4. The PID algorithm continuously adjusts the system output to stabilize it near the set target value. The proportional part responds quickly, the integral part eliminates accumulated errors, and the derivative part anticipates error changes, enabling the system to achieve the target more accurately. This improves the accuracy and reliability of the infusion process, reduces catheter embolism caused by parameter fluctuations, and ensures the stability and safety of the infusion process.

[0064] 5. Remote monitoring and automated management greatly reduce errors caused by human intervention, improve operational accuracy and efficiency, optimize the tree nutrient infusion process, and help save resources and reduce management costs. Attached Figure Description

[0065] Figure 1 This is a schematic diagram of the overall structure of the intelligent tree trunk infusion device of the present invention;

[0066] Figure 2 This is a schematic diagram of the infusion tank structure of the present invention;

[0067] Figure 3 This is a schematic diagram of the regulating box structure of the present invention;

[0068] Figure 4 This is a schematic diagram of the infusion state of the present invention;

[0069] Figure 5 This is a schematic diagram of the infusion dynamic balance system module of the present invention.

[0070] In the diagram: 1. Infusion tank; 101. Tank body; 102. Tank lid; 103. Motor; 104. Control button; 105. Inlet; 106. Snap-fit ​​protrusion; 107. Stirring rod; 108. Stirring blade; 109. Bottom opening; 2. Regulating box; 201. Connecting needle; 202. Valve; 203. Inlet pipe; 204. First temperature sensor; 205. T-connector; 206. Return pipe; 20 7. S-shaped bend; 208. Second temperature sensor; 209. Diverter valve; 210. Dual-purpose temperature controller (hot and cold); 211. Temperature control tube; 212. Infusion pump; 213. Flow sensor; 3. Mounting bracket; 301. Stand; 302. Mounting platform; 303. Stabilizing plate; 304. Spring; 4. Trunk tube; 5. Infusion needle; 6. Telescopic outrigger; 7. Auxiliary outrigger; 8. Pressure sensor; 9. Elastic band. Detailed Implementation

[0071] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0072] Example 1:

[0073] Please see Figures 1-4 The present invention provides the following technical solutions:

[0074] The intelligent tree trunk infusion device includes an infusion tank 1 and an adjustment box 2. A mounting frame 3 is installed on the top of the adjustment box 2, and the infusion tank 1 is snapped into the mounting frame 3, connecting the infusion tank 1 to the adjustment box 2. A tree trunk conduit 4 is installed on one side of the adjustment box 2, connecting the tree trunk conduit 4 to the infusion tank 1 via the adjustment box 2. An infusion needle 5 is installed at one end of the tree trunk conduit 4, and a pressure sensor 8 is connected to the middle of the tree trunk conduit 4. Elastic bands 9 are installed on both sides of the pressure sensor 8. Telescopic support legs 6 are installed at the bottom of the adjustment box 2, and auxiliary support legs 7 are evenly distributed around the telescopic support legs 6. A control module is installed inside the adjustment box 2, which is used to carry the dynamic balance system of the infusion and control the entire adjustment box 2.

[0075] The infusion tank 1 includes a tank body 101 and a tank cover 102 connected by threads. A motor 103 is provided on the top of the tank cover 102. A control button 104 is provided on one side of the motor 103. A bucket-shaped inlet 105 is provided on one side of the top of the tank cover 102. Snap-fit ​​protrusions 106 are provided on both sides of the top of the tank body 101. A stirring rod 107 and a stirring blade 108 are provided inside the tank body 101. The top of the stirring rod 107 is connected to the output shaft of the motor 103. A bottom opening 109 is opened in the middle of the bottom surface of the tank body 101. A rubber sealing membrane is provided inside the bottom opening 109.

[0076] The mounting frame 3 includes a stand 301, a mounting plate 302 is provided on the inner side of the top of the stand 301, a stabilizing plate 303 is provided below the mounting plate 302, the top of the stabilizing plate 303 is sloped, and a spring 304 is connected between the stabilizing plate 303 and the stand 301.

[0077] In the above embodiment, the nutrient solution in the infusion tank 1 can be replenished through the inlet 105 without removing the infusion tank 1. At the same time, nano selenium particles can be added through the inlet 105, so that the nutrient solution can enhance the seedling's cold and drought resistance. The stirring rod 107 and stirring blade 108 driven by the motor 103 can fully stir the nutrient solution to ensure uniform composition and avoid sedimentation that affects the infusion effect. The snap-fit ​​protrusion 106 cooperates with the clamping platform 302 and the mounting bracket 3 to achieve stable installation. The spring 304 pushes the stabilizing plate 303 to stably clamp the infusion tank 1 in the left and right directions after snap-fitting.

[0078] A valve 202 is installed on the top of the regulating tank 2. A connecting needle tube 201 is installed at the input end of the valve 202, and an inlet pipe 203 is installed at the output end of the valve 202. A first temperature sensor 204 is installed on the inlet pipe 203. A three-way connector 205 is connected to one end of the inlet pipe 203 away from the valve 202. The other two ends of the three-way connector 205 are respectively connected to a return pipe 206 and an S-shaped bend 207. The connection port of the three-way connector 205 to the inlet pipe 203 is set as a one-way valve port from the inlet pipe 203 to the three-way connector 205. The connection port of the three-way connector 205 to the return pipe 206 is... The connection port of the return pipe 206 to the three-way connector 205 is configured as a one-way valve port from the three-way connector 205 to the S-shaped bend 207. The end of the S-shaped bend 207 away from the three-way connector 205 is provided with a second temperature sensor 208 and a diversion valve 209. The two diversion ports of the diversion valve 209 are respectively connected to the trunk guide tube 4 and the return pipe 206. The connection between the trunk guide tube 4 and the diversion valve 209 is provided with an infusion pump 212 and a flow rate sensor 213. The connection between the return pipe 206 and the diversion valve 209 is provided with a return pump.

[0079] The regulating box 2 is equipped with a dual-purpose temperature controller 210 for both cooling and heating. A temperature control tube 211 is connected to the dual-purpose temperature controller 210 and is arranged around the S-shaped bend 207.

[0080] In the above embodiments, functional integration and structural optimization are achieved through the coordinated design of the infusion tank, regulating box, and related components. The regulating box 2 integrates a control module and a complex pipeline system. The pressure sensor 8, in conjunction with the elastic band 9, can accurately monitor the infusion pressure while ensuring the fixation of the trunk conduit 4, providing a data basis for subsequent dynamic adjustment. This effectively improves the convenience, stability, and reliability of trunk infusion, reduces the difficulty of manual operation and maintenance costs, and provides efficient equipment support for tree maintenance. It flexibly controls the dual-purpose hot and cold temperature controller 210 and the diversion valve 209 to achieve secondary adjustment of heating, cooling, or return of the nutrient solution. This effectively avoids the tree's absorption of the nutrient solution due to unsuitable temperature, prevents the nutrient solution from solidifying and clogging the conduit due to low temperature or destroying the nutrient components due to high temperature, ensures that the nutrient solution is delivered to the tree at a suitable temperature, improves the tree's utilization rate of the nutrient solution, enhances the tree maintenance effect, and ensures that the tree receives good growth support during the infusion process.

[0081] Example 2:

[0082] Please see Figure 5 The present invention provides the following technical solutions:

[0083] A dynamic infusion balancing system, applied in the aforementioned intelligent trunk infusion device, includes:

[0084] The parameter monitoring unit is configured to collect pressure data in the trunk duct 4 in real time through pressure sensor 8, collect flow velocity data in the trunk duct 4 through flow velocity sensor 213, and detect temperature data at the end of liquid inlet pipe 203 and S-shaped bend pipe 207 through first temperature sensor 204 and second temperature sensor 208 respectively.

[0085] The data transmission unit is configured to receive sensor data output by the parameter monitoring unit via wireless communication and send the sensor data to the remote monitoring terminal.

[0086] The PID processing unit is configured to receive real-time pressure and flow rate data sent by the data transmission unit, calculate and output adjustment signals to adjust the infusion state using preset standard pressure and flow rate values ​​as target parameters;

[0087] The intelligent temperature control unit is configured to receive the first temperature data collected by the first temperature sensor 204, and when the first temperature data deviates from the preset suitable temperature range, send a temperature control signal to the dual-purpose temperature controller 210 for both cooling and heating, and receive the second temperature data collected by the second temperature sensor 208, and when the second temperature data deviates from the preset suitable temperature range, output a liquid return signal.

[0088] The infusion dynamic adjustment unit is configured to receive adjustment signals and change the operating power of the infusion pump 212 according to the adjustment signals, adjust the flow rate of nutrient solution in the trunk conduit 4; receive return signals and change the pipeline on / off state of the diversion valve 209 according to the return signals.

[0089] The abnormal early warning unit is configured to set an abnormal judgment threshold, compare the data collected by the pressure sensor 8, the flow rate sensor 213 and the temperature sensor with the preset abnormal judgment threshold, and send abnormal information to the remote monitoring terminal through the data transmission unit when the data exceeds the threshold range.

[0090] In the above embodiments, the parameter monitoring unit, data transmission unit, PID processing unit, intelligent temperature control unit, dynamic infusion adjustment unit, and anomaly early warning unit of the infusion dynamic balancing system work together to achieve intelligent and precise management of trunk infusion. The parameter monitoring unit collects key data in real time through multiple types of sensors to ensure comprehensive and accurate information; the data transmission unit enables remote monitoring through wireless communication, breaking through spatial limitations and facilitating timely monitoring of the infusion status by management personnel; the PID processing unit outputs precise adjustment signals based on algorithms to ensure stable infusion flow rate and pressure; the intelligent temperature control unit maintains a suitable nutrient solution temperature to avoid affecting tree absorption due to temperature issues; the dynamic infusion adjustment unit dynamically adjusts the infusion process according to signals; and the anomaly early warning unit promptly reports anomalies, facilitating rapid fault handling, effectively avoiding the drawbacks of traditional infusion, improving the scientific and effective nature of tree maintenance, reducing resource waste, and increasing tree survival rate.

[0091] Example 3:

[0092] Please see Figure 5 The present invention provides the following technical solutions:

[0093] The PID processing unit includes:

[0094] The preprocessing subunit is configured to receive real-time pressure data and flow rate data sent by the data transmission unit, remove abnormal data, and convert it into a standard format that meets the requirements of PID algorithm operation.

[0095] The PID calculation subunit is configured to use preset standard pressure and flow rate values ​​as target parameters, and calculate the difference between the real-time pressure data and flow rate data and the corresponding target parameters respectively.

[0096] The current error is responded to by proportional calculation, the cumulative error is eliminated by integral calculation, the error change trend is predicted by differential calculation, and the preliminary adjustment signal is generated by combining the results of proportional calculation, integral calculation and differential calculation.

[0097] The signal calibration subunit is configured to receive the preliminary adjustment signal generated by the PID calculation subunit, perform amplitude limiting processing on the preliminary adjustment signal, and dynamically correct the preliminary adjustment signal through adaptive calibration by combining historical adjustment data, and output the final adjustment signal to the infusion dynamic adjustment unit.

[0098] In the above embodiments, the preprocessing subunit, PID calculation subunit, and signal calibration subunit of the PID processing unit work together to significantly improve the accuracy and reliability of infusion state regulation. They filter and convert data to remove interference factors, providing high-quality data for subsequent calculations. Through proportional, integral, and derivative operations, combined with target parameters and real-time data, they perform multi-dimensional analysis and response to infusion errors. Furthermore, they optimize the initial adjustment signal to avoid over- or under-adjustment, forming a closed-loop processing mechanism that makes the adjustment signal more aligned with actual needs. This enables rapid and accurate adjustment of the infusion pump's operating state, maintaining stability in the infusion process, effectively reducing catheter embolism caused by fluctuations in infusion parameters, improving the safety and effectiveness of trunk infusion, and providing strong protection for the healthy growth of trees.

[0099] The intelligent temperature control unit includes:

[0100] The temperature acquisition subunit is configured to receive the first temperature data at the liquid inlet pipe 203 collected by the first temperature sensor 204, and the second temperature data at the end of the S-shaped bend pipe 207 collected by the second temperature sensor 208.

[0101] The anomaly detection subunit is configured to store preset suitable temperature range parameters;

[0102] Receive the first temperature data and the second temperature data, and compare them with the preset suitable temperature range to make a judgment;

[0103] When the first temperature data is higher or lower than the upper or lower limit of the suitable temperature range, a temperature control signal is generated;

[0104] When the second temperature data is higher or lower than the upper or lower limit of the suitable temperature range, a liquid return signal is generated;

[0105] The temperature control subunit is configured to receive temperature control signals and liquid return signals;

[0106] When a temperature control trigger signal is received, a temperature control command is sent to the dual-purpose temperature controller 210 to control the dual-purpose temperature controller 210 to heat or cool the nutrient solution in the S-shaped bend 207 through the temperature control tube 211.

[0107] When a return liquid trigger signal is received, a return liquid command is sent to the infusion dynamic adjustment unit to control the diversion valve 209 to switch the pipeline on / off state, and the nutrient solution is returned through the return liquid pipe 206 for secondary temperature adjustment.

[0108] In the above embodiments, the temperature acquisition subunit, anomaly judgment subunit, and temperature regulation subunit of the intelligent temperature control unit work closely together to provide a complete solution for nutrient solution temperature control. They acquire real-time temperature data at key nodes, providing a basis for temperature regulation; accurately identify temperature anomalies within preset ranges and trigger corresponding signals in a timely manner; and flexibly control the dual-purpose heating and cooling temperature controller and diversion valve based on the signals to achieve secondary adjustments for heating, cooling, or returning the nutrient solution. This effectively avoids the trees' absorption of nutrient solution due to unsuitable temperatures, prevents the nutrient solution from solidifying and clogging the conduits due to low temperatures, or destroying nutrients due to high temperatures, ensuring that the nutrient solution is delivered to the trees at a suitable temperature, improving the trees' utilization rate of the nutrient solution, enhancing tree maintenance effects, and ensuring that the trees receive good growth support during the infusion process.

[0109] The infusion dynamic adjustment unit includes:

[0110] The signal processing subunit is configured to receive the adjustment signal output by the PID processing unit and the temperature control command and liquid return command generated by the intelligent temperature control unit, and convert the adjustment signal, temperature control command and liquid return command into control command form that can be recognized by the corresponding actuator.

[0111] The flow rate regulation subunit is configured to receive regulation control commands based on the output of the regulation signal;

[0112] The control command is converted into an operating parameter adjustment signal for the infusion pump 212. By changing the operating power of the infusion pump 212, the flow rate of the nutrient solution in the trunk duct 4 is adjusted.

[0113] The operating status of the infusion pump 212 is monitored in real time, and the adjustment effect is fed back to the PID processing unit.

[0114] The liquid return control subunit is configured to receive a liquid return command based on the liquid return signal output;

[0115] According to the return liquid command, a pipeline switching signal is sent to the diversion valve 209 to control the diversion valve 209 to change the pipeline on / off state, so that the nutrient solution returns through the return liquid pipe 206 for secondary temperature adjustment.

[0116] In the above embodiments, the signal processing subunit, flow rate regulation subunit, and return fluid control subunit of the infusion dynamic regulation unit cooperate with each other to achieve dynamic and precise regulation of the trunk infusion process. They integrate multiple signals and convert them into execution commands to ensure that each component receives accurate control information. Based on the regulation commands, the power of the infusion pump is adjusted in real time to precisely control the nutrient solution flow rate and maintain the stability of the infusion process. According to the return fluid command, the state of the diversion valve is switched in a timely manner to handle the return of nutrient solution with abnormal temperature. This effectively avoids infusion failures caused by unstable infusion flow rate, abnormal nutrient solution temperature, etc., improves the self-adaptability of the infusion system, ensures that the nutrient solution is accurately delivered according to the needs of the tree, improves tree maintenance efficiency, reduces the frequency of manual intervention, and creates a good infusion environment for the healthy growth of trees.

[0117] Example 4:

[0118] This invention provides the following technical solutions:

[0119] The PID calculation subunit uses preset standard pressure and standard flow rate values ​​as target parameters. It calculates the difference between the real-time pressure data and the real-time flow rate data and the corresponding target parameters, responds to the current error through proportional calculation, eliminates the accumulated error through integral calculation, and predicts the error change trend through differential calculation. It then generates a preliminary adjustment signal by combining the results of proportional, integral, and differential calculations, and specifically performs the following operations:

[0120] The pressure error value is calculated based on the preset standard pressure value and real-time pressure data: e p (t)=P set -P(t); where e p (t) represents the pressure error value, P set P(t) represents the preset standard pressure value, and P(t) represents the real-time pressure data.

[0121] The flow rate error value is calculated based on the preset standard flow rate value and real-time flow rate data: e Q (t)=Q set -Q(t); where e Q (t) represents the flow velocity error value, Q set Q(t) represents the preset standard flow rate value, and Q(t) represents the real-time flow rate data.

[0122] The pressure regulation signal, P, is calculated by responding to the pressure error value using the pressure proportional gain. term =K p ·e p (t); where P term K is the pressure regulation signal. p For pressure proportional gain;

[0123] The flow rate regulation signal Q is calculated by using the flow rate proportional gain to respond to the flow rate error value. term =K Q ·e Q (t); where Q is... term For flow rate regulation signal, K Q For flow rate proportional gain;

[0124] The pressure integral signal is calculated by eliminating the accumulated error of the pressure error value using the pressure integral gain: Among them, I term For the pressure integral signal, L p For pressure integral gain;

[0125] The cumulative error of the flow velocity error value is eliminated by using the flow velocity integral gain, and the flow velocity integral signal is calculated: in, For the velocity integral signal, L Q The integral gain is the velocity gain.

[0126] By utilizing the differential gain of pressure, the error variation trend of the pressure error value is predicted, and the differential signal of pressure is calculated: Among them, D term X is the differential signal of pressure. p For pressure differential gain, The derivative of the pressure error value;

[0127] By utilizing the differential gain of flow velocity, the error variation trend of the flow velocity error value is predicted, and the differential signal of flow velocity is calculated: in, X is the differential signal of the flow velocity. Q For the differential gain of the flow velocity, The derivative of the flow velocity error value;

[0128] Calculate the initial pressure regulation signal based on the pressure regulation signal, the pressure integral signal, and the pressure derivative signal: PID output_P (t)=P term +I term +D term ;

[0129] Calculate the initial flow rate regulation signal based on the flow rate regulation signal, the flow rate integral signal, and the flow rate derivative signal:

[0130] The working principle and beneficial effects of the above technical solution:

[0131] The working principle of this PID control algorithm is to continuously calculate the error between the target value and the actual value, and adjust the error through three methods: proportional, integral and derivative, thereby achieving precise control of the system.

[0132] For the proportional gain, by calculating the difference (error) between the target value and the current value, the proportional gain directly adjusts the system output based on the magnitude of the error. This adjustment is achieved by multiplying the error by a constant proportional gain, which generates the adjustment signal. The larger the error, the stronger the system's response and the greater the adjustment magnitude. The proportional gain's function is to react quickly to the current error, reducing system deviation.

[0133] The integral part is responsible for eliminating long-term accumulated errors that the proportional part could not completely eliminate. By integrating the error over time, it accumulates the error and makes adjustments, thereby eliminating the static error in the system. This prevents the system from deviating from the target during long-term operation.

[0134] For the derivative part, the predictive function forecasts the trend of error change and adjusts the control signal based on the rate of error change. By calculating the rate of error change, it takes proactive measures to prevent the error from increasing too quickly, thereby reducing system oscillations and over-adjustment. Especially when the error changes rapidly, derivative control can respond in advance, effectively suppressing system oscillations and overshoot.

[0135] Through the combined action of these three parts, the PID algorithm can continuously adjust the system output, stabilizing it near the set target value. The proportional part responds quickly, the integral part eliminates accumulated errors, and the derivative part anticipates changes in error trends, enabling the system to achieve the target more accurately. Through real-time monitoring and feedback adjustments, PID control can respond promptly to system changes, preventing overshoot and oscillations, ensuring that parameters such as flow rate and pressure remain within safe ranges. This improves the accuracy and reliability of the infusion process, reduces catheter embolism caused by parameter fluctuations, and ensures the stability and safety of the infusion process.

[0136] Example 5:

[0137] This invention provides the following technical solutions:

[0138] The infusion dynamic balance system also includes:

[0139] The visualization operation support module is used to generate a visualization operation support interface and transmit it to the remote monitoring terminal when it receives a visualization operation support request from the remote monitoring terminal, based on the working status information of at least the parameter monitoring unit, data transmission unit, PID processing unit, intelligent temperature control unit, infusion dynamic adjustment unit and abnormal warning unit, so that the user of the remote monitoring terminal can perform visualization operation.

[0140] The visualization operation support module is also used to include:

[0141] Receive infusion intervention commands input by users through a remote monitoring terminal;

[0142] Based on the working status information, verify whether the infusion intervention command is feasible;

[0143] Once it is verified to be feasible, plan the optimal timing for executing infusion intervention instructions;

[0144] When the optimal time for intervention is reached, execute the infusion intervention command.

[0145] The working principle and beneficial effects of the above technical solution:

[0146] When the system receives a visualization operation request from the remote monitoring terminal, the visualization operation support module generates a corresponding visualization operation support interface based on the real-time operating status information of each module of the system (including the parameter monitoring unit, data transmission unit, PID processing unit, intelligent temperature control unit, infusion dynamic adjustment unit, and anomaly early warning unit). This interface displays the system's operating status, real-time data, and related adjustment information, allowing users of the remote monitoring terminal to clearly view the current system operation. It also allows users to view the status of the tree's nutrient infusion system, including parameters such as nutrient solution flow rate, pressure, and temperature.

[0147] Users input infusion intervention commands via a remote monitoring terminal. These commands can be requests to adjust parameters such as flow rate, pressure, and temperature.

[0148] The visual operation support module verifies the feasibility of the command based on the system's operating status information, determining whether the system meets the conditions for executing the command. For example, it checks whether the current liquid pressure allows for adjustment and whether the system is in a stable state.

[0149] Once the instruction is verified as feasible, the system plans the optimal execution time. By analyzing the various parameters in the operational status information, the system selects the moment that has the least impact on the entire tree infusion process and is most effective to execute the intervention instruction. This ensures that the tree infusion process is adjusted without disrupting the system's balance.

[0150] When the optimal time for execution is reached, the system will automatically execute the infusion intervention command, adjusting the flow rate, pressure, or other relevant parameters to achieve precise control over the infusion process and ensure that the trees receive the best nutrient supply.

[0151] Remote monitoring and automated management greatly reduce errors caused by human intervention, improve operational accuracy and efficiency, optimize the tree nutrient infusion process, and help save resources and reduce management costs.

[0152] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. An intelligent tree trunk infusion device, comprising an infusion tank (1) and a regulating box (2), characterized in that, The top of the regulating box (2) is provided with a mounting bracket (3), the infusion tank (1) is snapped into the inside of the mounting bracket (3), the infusion tank (1) is connected to the regulating box (2), a trunk guide tube (4) is provided on one side of the regulating box (2), the trunk guide tube (4) is connected to the infusion tank (1) through the regulating box (2), an infusion needle (5) is provided at one end of the trunk guide tube (4), a pressure sensor (8) is connected in the middle of the trunk guide tube (4), and elastic bands (9) are provided on both sides of the pressure sensor (8). The regulating tank (2) is equipped with a control module. The control module is used to carry the infusion dynamic balance system and control the regulating tank (2) as a whole. The control module uses the preset standard pressure value and standard flow rate value as target parameters, calculates the difference based on the real-time pressure and flow rate, responds to the current error and eliminates the cumulative error, predicts the error change trend and generates a preliminary adjustment signal. The top of the regulating box (2) is provided with a valve (202). The input end of the valve (202) is provided with a connecting needle tube (201), and the output end of the valve (202) is provided with a liquid inlet pipe (203). A first temperature sensor (204) is provided on the liquid inlet pipe (203). A three-way connector (205) is connected to one end of the liquid inlet pipe (203) away from the valve (202). The other two ends of the three-way connector (205) are respectively connected to a return pipe (206) and an S-shaped bend pipe (207). A second temperature sensor is provided at the end of the S-shaped bend pipe (207) away from the three-way connector (205). The sensor (208) and the diversion valve (209) are connected to the trunk conduit (4) and the return pipe (206) respectively. The connection between the trunk conduit (4) and the diversion valve (209) is provided with an infusion pump (212) and a flow rate sensor (213). The connection between the return pipe (206) and the diversion valve (209) is provided with a return pump. The regulating box (2) is equipped with a dual-purpose temperature controller (210) for both hot and cold use. The dual-purpose temperature controller (210) is connected to a temperature control pipe (211), which is arranged around the S-shaped bend (207).

2. The intelligent trunk infusion device as described in claim 1, characterized in that, The infusion tank (1) includes a tank body (101) and a tank cover (102) connected by threads. A motor (103) is provided on the top of the tank cover (102). A control button (104) is provided on one side of the motor (103). A bucket-shaped inlet (105) is provided on one side of the top of the tank cover (102). Snap-fit ​​protrusions (106) are provided on both sides of the top of the tank body (101). A stirring rod (107) and a stirring blade (108) are provided inside the tank body (101). The top of the stirring rod (107) is connected to the output shaft of the motor (103). A bottom opening (109) is opened in the middle of the bottom surface of the tank body (101).

3. The intelligent trunk infusion device as described in claim 2, characterized in that, The mounting frame (3) includes a stand (301), a card plate (302) is provided on the inner side of the top of the stand (301), a stabilizing plate (303) is provided below the card plate (302), the top of the stabilizing plate (303) is inclined, and a spring (304) is connected between the stabilizing plate (303) and the stand (301).

4. A dynamic infusion balancing system, applied in the intelligent trunk infusion device as described in claim 1, characterized in that, include: The parameter monitoring unit is configured to collect pressure data in the trunk duct (4) in real time through pressure sensor (8), collect flow rate data in the trunk duct (4) through flow rate sensor (213), and detect temperature data at the end of liquid inlet pipe (203) and S-shaped bend pipe (207) through first temperature sensor (204) and second temperature sensor (208), respectively. The data transmission unit is configured to receive sensor data output by the parameter monitoring unit via wireless communication and send the sensor data to the remote monitoring terminal. The PID processing unit is configured to receive real-time pressure and flow rate data sent by the data transmission unit, calculate and output adjustment signals to adjust the infusion state using preset standard pressure and flow rate values ​​as target parameters; The intelligent temperature control unit is configured to receive the first temperature data collected by the first temperature sensor (204), and when the first temperature data is detected to deviate from the preset suitable temperature range, send a temperature control signal to the dual-purpose temperature controller (210) for both cooling and heating, and receive the second temperature data collected by the second temperature sensor (208), and when the second temperature data is detected to deviate from the preset suitable temperature range, output a liquid return signal. The infusion dynamic adjustment unit is configured to receive adjustment signals and change the operating power of the infusion pump (212) according to the adjustment signals, adjust the flow rate of nutrient solution in the trunk conduit (4); receive return signals and change the pipeline on / off state of the diversion valve (209) according to the return signals. The abnormal warning unit is configured to set an abnormal judgment threshold, compare the data collected by the pressure sensor (8), the flow rate sensor (213) and the temperature sensor with the preset abnormal judgment threshold, and send abnormal information to the remote monitoring terminal through the data transmission unit when the data exceeds the threshold range.

5. The infusion dynamic balancing system as described in claim 4, characterized in that, The PID processing unit includes: The preprocessing subunit is configured to receive real-time pressure data and flow rate data sent by the data transmission unit, remove abnormal data, and convert it into a standard format that meets the requirements of PID algorithm operation. The PID calculation subunit is configured to use preset standard pressure and standard flow rate values ​​as target parameters, and calculate the difference between the real-time pressure data and real-time flow rate data and the corresponding target parameters respectively. The current error is responded to by proportional calculation, the cumulative error is eliminated by integral calculation, the error change trend is predicted by differential calculation, and the preliminary adjustment signal is generated by combining the results of proportional calculation, integral calculation and differential calculation. The signal calibration subunit is configured to receive the preliminary adjustment signal generated by the PID calculation subunit, perform amplitude limiting processing on the preliminary adjustment signal, and dynamically correct the preliminary adjustment signal through adaptive calibration by combining historical adjustment data, and output the final adjustment signal to the infusion dynamic adjustment unit.

6. The infusion dynamic balancing system as described in claim 5, characterized in that, The intelligent temperature control unit includes: The temperature acquisition subunit is configured to receive the first temperature data at the liquid inlet pipe (203) collected by the first temperature sensor (204) and the second temperature data at the end of the S-shaped bend pipe (207) collected by the second temperature sensor (208). The anomaly detection subunit is configured to store preset suitable temperature range parameters; Receive the first temperature data and the second temperature data, and compare them with the preset suitable temperature range to make a judgment; When the first temperature data is higher or lower than the upper or lower limit of the suitable temperature range, a temperature control signal is generated; When the second temperature data is higher or lower than the upper or lower limit of the suitable temperature range, a liquid return signal is generated; The temperature control subunit is configured to receive temperature control signals and liquid return signals; When a temperature control trigger signal is received, a temperature control command is sent to the dual-purpose temperature controller (210) to control the dual-purpose temperature controller (210) to heat or cool the nutrient solution in the S-shaped bend (207) through the temperature control tube (211); When a return liquid trigger signal is received, a return liquid command is sent to the infusion dynamic adjustment unit to control the diversion valve (209) to switch the pipeline on / off state.

7. The infusion dynamic balancing system as described in claim 4, characterized in that, The infusion dynamic adjustment unit includes: The signal processing subunit is configured to receive the adjustment signal output by the PID processing unit and the temperature control command and liquid return command generated by the intelligent temperature control unit, and convert the adjustment signal, temperature control command and liquid return command into control commands that can be recognized by the corresponding actuators. The flow rate regulation subunit is configured to receive control commands based on the regulation signal output; The control command is converted into an operating parameter adjustment signal for the infusion pump (212), and the flow rate of the nutrient solution in the trunk duct (4) is adjusted by changing the operating power of the infusion pump (212). The operating status of the infusion pump (212) is monitored in real time, and the adjustment effect is fed back to the PID processing unit; The liquid return control subunit is configured to receive a liquid return command based on the liquid return signal output; According to the return liquid command, a pipeline switching signal is sent to the diversion valve (209) to control the diversion valve (209) to change the pipeline on / off state, so that the nutrient solution returns through the return liquid pipe (206) for secondary temperature adjustment.

8. The infusion dynamic balancing system as described in claim 5, characterized in that, The PID calculation subunit uses preset standard pressure and standard flow rate values ​​as target parameters. It calculates the difference between the real-time pressure data and the real-time flow rate data and the corresponding target parameters, responds to the current error through proportional calculation, eliminates the accumulated error through integral calculation, and predicts the error change trend through differential calculation. It then generates a preliminary adjustment signal by combining the results of proportional, integral, and differential calculations, and specifically performs the following operations: Calculate the pressure error value based on the preset standard pressure value and real-time pressure data: ;in, This is the pressure error value. The preset standard pressure value, Provides real-time stress data; Calculate the flow rate error value based on the preset standard flow rate value and real-time flow rate data: ;in, This is the flow rate error value. The preset standard flow rate value, For real-time flow rate data; The pressure regulation signal is calculated by using the pressure proportional gain to respond to the pressure error value. ;in, For pressure regulation signal, For pressure proportional gain; The flow rate regulation signal is calculated by using the flow rate proportional gain to respond to the flow rate error value. ;in, For flow rate regulation signal, For flow rate proportional gain; The pressure integral signal is calculated by eliminating the accumulated error of the pressure error value using the pressure integral gain: ;in, The signal is the integral of the pressure signal. For pressure integral gain; The cumulative error of the flow velocity error value is eliminated by using the flow velocity integral gain, and the flow velocity integral signal is calculated: ;in, The integral signal of the flow velocity. The integral gain is the velocity gain. By utilizing the differential gain of pressure, the error variation trend of the pressure error value is predicted, and the differential signal of pressure is calculated: ;in, This is the differential signal of pressure. For pressure differential gain, The derivative of the pressure error value; By utilizing the differential gain of flow velocity, the error variation trend of the flow velocity error value is predicted, and the differential signal of flow velocity is calculated: ;in, The differential signal of the flow velocity. For the differential gain of the flow velocity, The derivative of the flow velocity error value; Calculate the initial pressure regulation signal based on the pressure regulation signal, the pressure integral signal, and the pressure derivative signal: ; Calculate the initial flow rate regulation signal based on the flow rate regulation signal, the flow rate integral signal, and the flow rate derivative signal: .

9. The infusion dynamic balancing system as described in claim 4, characterized in that, Also includes: The visualization operation support module is used to generate a visualization operation support interface and transmit it to the remote monitoring terminal when it receives a visualization operation support request from the remote monitoring terminal, based on the working status information of at least the parameter monitoring unit, data transmission unit, PID processing unit, intelligent temperature control unit, infusion dynamic adjustment unit and abnormal warning unit, so that the user of the remote monitoring terminal can perform visualization operation. The visualization operation support module is also used to include: Receive infusion intervention commands input by users through a remote monitoring terminal; Based on the working status information, verify whether the infusion intervention command is feasible; Once it is verified to be feasible, plan the optimal timing for executing infusion intervention instructions; When the optimal time for intervention is reached, execute the infusion intervention command.

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